一种约束语言的配对方法

Chuang Liu, Ian T Foster
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引用次数: 58

摘要

在分布式系统的许多上下文中,都需要发现和选择符合指定需求的实体。由于不仅潜在的消费者可能会指定对资源的约束,而且相关实体的所有者也可能会指定对消费者的约束,因此满足这种需求变得更加复杂。这一观察结果促使Raman等人提出将发现和选择作为对称匹配过程来实现,这是他们在ClassAds系统中采用的一种方法。我们在这里提出了一种对称匹配的新方法,相对于当前的classad,它在表达性方面取得了重大进展——例如,允许具有可协商能力的资源的多路匹配、表达和位置。我们方法的关键是我们将匹配重新解释为约束问题,并利用约束解决技术来实现匹配操作。我们制作了一个配对机制的原型,名为《红线》,并用它来模拟和解决几个具有挑战性的配对问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A constraint language approach to matchmaking
The need to discover and select entities that match specified requirements arises in many contexts in distributed systems. Meeting this need is complicated by the fact that not only may the potential consumer specify constraints on resources, but the owner of the entity in question may specify constraints on the consumer. This observation has motivated Raman et al. to propose that discovery and selection be implemented as symmetric matching process, an approach they take in their ClassAds system. We present here a new approach to symmetric matching that achieves significant advances in expressivities relative to the current ClassAds - for example, allowing for multi-way matches, expression and location of resource with negotiable capability. The key to our approach is that we reinterpret matching as a constraint problem and exploit constraint-solving technologies to implement matching operations. We have prototyped a matchmaking mechanism, named Redline, and used it to model and solve several challenging matching problems.
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